"object detection" Papers
132 papers found • Page 3 of 3
Conference
One Step Learning, One Step Review
Huang Xiaolong, Qiankun Li, Xueran Li et al.
Open-Set Recognition in the Age of Vision-Language Models
Dimity Miller, Niko Suenderhauf, Alex Kenna et al.
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
Lihua Jing, Rui Wang, Wenqi Ren et al.
PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking
Jiahuan Long, Tingsong Jiang, Wen Yao et al.
PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects
Junyi Li, Junfeng Wu, Weizhi Zhao et al.
Receptive Fields As Experts in Convolutional Neural Architectures
Dongze Lian, Weihao Yu, Xinchao Wang
Referring Expression Counting
Siyang Dai, Jun Liu, Ngai-Man Cheung
Relation DETR: Exploring Explicit Position Relation Prior for Object Detection
Xiuquan Hou, Meiqin Liu, Senlin Zhang et al.
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
Xiuquan Hou, Meiqin Liu, Senlin Zhang et al.
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection
Tim Salzmann, Markus Ryll, Alex Bewley et al.
SCoRe: Submodular Combinatorial Representation Learning
Anay Majee, Suraj Kothawade, Krishnateja Killamsetty et al.
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
JUNSU KIM, Hoseong Cho, Jihyeon Kim et al.
Seeing Faces in Things: A Model and Dataset for Pareidolia
Mark T Hamilton, Simon Stent, Vasha G DuTell et al.
Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning
Kaiyou Song, Shan Zhang, Tong Wang
Semantic-Aware Transformation-Invariant RoI Align
Guo-Ye Yang, Kiyohiro Nakayama, Zi-Kai Xiao et al.
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
Seokju Yun, Youngmin Ro
Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights
Yan Hao, Florent Forest, Olga Fink
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
Jialong Guo, Xinghao Chen, Yehui Tang et al.
SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples
Chen Ma, Ningfei Wang, Qi Alfred Chen et al.
Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once
Zhangheng Li, Shiwei Liu, Tianlong Chen et al.
Task-Aware Encoder Control for Deep Video Compression
Xingtong Ge, Jixiang Luo, XINJIE ZHANG et al.
Tensorial template matching for fast cross-correlation with rotations and its application for tomography
Antonio Martinez-Sanchez, Ulrike Homberg, J. M. Almira et al.
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients
Dohyung Kim, Junghyup Lee, Jeimin Jeon et al.
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
Francesco Croce, Naman D. Singh, Matthias Hein
UniFS: Universal Few-shot Instance Perception with Point Representations
Sheng Jin, Ruijie Yao, Lumin Xu et al.
Unsqueeze [CLS] Bottleneck to Learn Rich Representations
Qing Su, Shihao Ji
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation
Yunhao Ge, Xiaohui Zeng, Jacob Huffman et al.
Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
Yancheng Wang, Ping Li, Yingzhen Yang
ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions
Chunlong Xia, Xinliang Wang, Feng Lv et al.
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation
Prantik Howlader, Hieu Le, Dimitris Samaras
What How and When Should Object Detectors Update in Continually Changing Test Domains?
Jayeon Yoo, Dongkwan Lee, Inseop Chung et al.
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao